{"id":"W2128047801","doi":"10.12927/hcpol.2008.19572","title":"A General Method for Identifying Excess Revisit Rates: The Case of Hypertension","year":2008,"lang":"en","type":"article","venue":"Healthcare policy","topic":"Patient Satisfaction in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Manitoba Health","funders":"","keywords":"Cohort; Medicine; Health care; General practice; Retrospective cohort study; Control (management); Quality (philosophy); Cohort study; Family medicine; Population; Demography; Internal medicine; Computer science; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03334558,0.001303392,0.001680819,0.006889987,0.0008215714,0.002096765,0.002765286,0.002262682,0.00386063],"category_scores_gemma":[0.1522715,0.0006877495,0.00254604,0.005782291,0.001554274,0.001977763,0.002344083,0.002624447,0.001557785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006124729,"about_ca_system_score_gemma":0.001930583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00294575,"about_ca_topic_score_gemma":0.00267789,"domain_scores_codex":[0.9651391,0.01943403,0.003526003,0.005586382,0.005736639,0.0005777666],"domain_scores_gemma":[0.9255612,0.05269857,0.006799239,0.01010921,0.004479957,0.0003518724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006814598,0.0003036974,0.1827844,0.001080454,0.001484104,0.001533431,0.001544546,0.01957707,0.006582075,0.04156733,0.01171254,0.731149],"study_design_scores_gemma":[0.0007820721,0.001283695,0.1658107,0.0008835481,0.001106384,0.01375231,0.001378613,0.537647,0.01772329,0.1619155,0.09703702,0.0006799713],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006406768,0.0001625317,0.9909976,0.0001630519,0.0000840186,0.0005166283,0.0006278941,0.0004971689,0.0005443706],"genre_scores_gemma":[0.07061563,0.0002564786,0.923126,0.0002058446,0.0002482313,0.002692491,0.001176635,0.0001887706,0.001489893],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03334558,"threshold_uncertainty_score":0.1763504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4146745702105829,"score_gpt":0.5643525597787105,"score_spread":0.1496779895681276,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}